Article

BATCAVE: Calling somatic mutations with a tumor- and site-specific prior

2019-10-08

Abstract excerpt

Detecting somatic mutations withins tumors is key to understanding treatment resistance, patient prognosis, and tumor evolution. Mutations at low allelic frequency, those present in only a small portion of tumor cells, are particularly difficult to detect. Many algorithms have been developed to detect such mutations, but none models a key aspect of tumor biology. Namely, every tumor has its own profile of mutation...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: bfae1db9-5a36-5dc5-b463-6ae3811afd57
DOI: 10.1101/798348

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

BATCAVE: Calling somatic mutations with a tumor- and site-specific priorDOI 10.1101/798348Read

TNscope: Accurate Detection of Somatic Mutations with Haplotype-based Variant Candidate Detection and Machine Learning FilteringSemantic proximity Read

MuSE: accounting for tumor heterogeneity using a sample-specific error model improves sensitivity and specificity in mutation calling from sequencing data.Semantic proximity Read

Subclonal variant calling with multiple samples and prior knowledge.Semantic proximity Read

MuSE: A Novel Approach to Mutation Calling with Sample-Specific Error Modeling.Semantic proximity Read

Needlestack: an ultra-sensitive variant caller for multi-sample next generation sequencing dataSemantic proximity Read

Inferring clonal evolution of tumors from single nucleotide somatic mutations.Semantic proximity Read

Estimating growth patterns and driver effects in tumor evolution from individual samples.Semantic proximity Read

Detection of low prevalence somatic mutations in solid tumors with ultra-deep targeted sequencing.Semantic proximity Read

OncoBERT: Context-Aware Modeling of Somatic Mutations for Precision OncologySemantic proximity Read

Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learningSemantic proximity Read

SomaticSniper: identification of somatic point mutations in whole genome sequencing data.Semantic proximity Read

FERMI: A novel method for sensitive detection of rare mutations in somatic tissueSemantic proximity Read